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k均值聚类算法（k-meansclusteringalgorithm）是一种迭代求解的聚类分析算法，其步骤是，预将数据分为K组，则随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。每分配...
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This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS
This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data is...
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This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.C
This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.CPP. Sample data isfo...
PDF文档
kmeans算法实现 a simple k-means clustering routine. returns the cluster labels of the data points in a
kmeans算法实现 a simple k-means clustering routine. returns the cluster labels of the data points in an array....